Bourbaki

Proposition 21

Tag 02XW, permanent. Cite it as [Bourbaki, Tag 02XW].

Théories spectrales, chapter IV, § 1. Opérateurs compacts sur un espace hilbertien

Suppose that uNu_N is of finite trace. Then there exist a set X~⊂X\widetilde{X}\subset X whose complement X −X~-\widetilde{X} is μ\mu-negligible and a function H∈L2(X×X)H\in \mathscr{L}^2(X\times X) satisfying the following conditions :

(i) For every (x,y)∈X~×X~(x, y)\in \widetilde{X}\times \widetilde{X}, the family (αifi(x)gi(y))i∈I(\alpha_if_i(x)g_i(y))_{i\in I} is summable in C\mathbf{C} and its sum is N(x,y)N(x, y);

(ii) For every finite subset J of I and every (x,y)∈X~×X~(x, y)\in \widetilde{X}\times \widetilde{X}, one has

∣∑i∈Jαihi(x,y)∣⩽H(x,y)(14) |\sum_{i\in J}\alpha_ih_i(x, y)|\leqslant H(x, y) \tag{14}

(iii) The function x↦H(x,x)x\mapsto H(x, x) belongs to L1(X)\mathscr{L}^1(X).

Since uNu_N is of finite trace, the family (αi)(\alpha_i) is summable (cor. 4 of IV, p. 165). The series

∑i∈Iαi∣fi∣2,∑i∈Iαi∣gi∣2 \sum_{i\in I}\alpha_i|f_i|^2,\sum_{i\in I}\alpha_i|g_i|^2

therefore converge in L1(X)\mathscr{L}^1(X) and consequently μ\mu-almost everywhere (INT, IV, p. 128, § 3, no3^o3, prop. 6). Let F and G denote, respectively, the functions defined μ\mu-almost everywhere by the sum of these series, putting F(x)=0F(x) = 0 and G(x)=0G(x) = 0 for every xx such that the corresponding series does not converge. Since F and G belong to L1\mathscr{L}^1(X), the function H defined by H(x,y)=√F(x)G(y)H(x, y) =\surd F(x)G(y) belongs to L2(X×X)\mathscr{L}^2(X\times X) (INT, V, p. 95, § 8, no3^o3, cor. 2).

Let us apply prop. 20 to the space X, to F=C2F =\mathbf{C}^2, and to the measurable mappings

sn:x↦(∑i∈Iαi∣fi(x)∣2,∑i∈Iαi∣gi(x)∣2) s_n:x\mapsto (\sum_{i\in I}\alpha_i|f_i(x)|^2,\sum_{i\in I}\alpha_i|g_i(x)|^2)
i⩽ni⩽ni\leqslant ni\leqslant n

defined on X. There therefore exists a sequence (Cm)m∈N(C_m)_{m\in\mathbf{N}} of compact subsets of X satisfying the following conditions:

(1) the union X~\widetilde{X} satisfies μ(X−X~)=0\mu(X-\widetilde{X}) = 0;

(2) for every m∈Nm\in \mathbf{N} and every n∈Nn\in \mathbf{N}, the functions sns_n are continuous on CmC_m;

(3) for every m∈Nm\in \mathbf{N}, the series ∑αi∣fi∣2\sum\alpha_i|f_i|^2 and ∑αi∣gi∣2\sum\alpha_i|g_i|^2 converge uniformly on CmC_m to F and G, respectively;

(4) the support of the measure induced by μ\mu on CmC_m is equal to CmC_m (replacing CmC_m by the support of this measure if necessary).

Let us prove that the set X~\widetilde{X} and the function H satisfy conditions (i), (ii), and (iii).

Let (x,y)∈X~×X~(x, y)\in \widetilde{X}\times \widetilde{X}. For every finite subset J⊂IJ\subset I, one has

∣∑i∈Jαifi(x)‾gi(y)∣⩽(∑i∈Jαi∣fi(x)∣2)1/2(∑i∈Jαi∣gi(y)∣2)1/2(15) |\sum_{i\in J}\alpha_i\overline{f_i(x)}g_i(y)|\leqslant (\sum_{i\in J}\alpha_i|f_i(x)|^2)^{1/2}(\sum_{i\in J}\alpha_i|g_i(y)|^2)^{1/2} \tag{15}

whence also

∣∑i∈Jαifi(x)‾gi(y)∣⩽H(x,y)(16) |\sum_{i\in J}\alpha_i\overline{f_i(x)}g_i(y)|\leqslant H(x, y) \tag{16}

which already establishes property (ii).

By inequality (15), the series ∑iαihi\sum_i\alpha_ih_i converges uniformly on Km×KnK_m\times K_n for every (m,n)∈N2(m, n)\in \mathbf{N}^2. Let N~\widetilde{N} be the function on X×XX\times X defined by

N~(x,y)=∑i∈Iαihi(x,y)=∑i∈Iαifi(x)‾gi(y) \widetilde{N}(x, y) =\sum_{i\in I}\alpha_ih_i(x, y) =\sum_{i\in I}\alpha_i\overline{f_i(x)}g_i(y)

for every (x,y)∈X~×X~(x, y)\in \widetilde{X}\times \widetilde{X} and by N~(x,y)=0\widetilde{N}(x, y) = 0 otherwise. The function N~\widetilde{N} is measurable (INT, IV, p. 175, § 5, no4^o4, th. 2), and it is continuous on Km×KnK_m\times K_n for every (m,n)∈N2(m, n)\in \mathbf{N}^2.

From (16), we have ∣N~(x,y)∣⩽H(x,y)|\widetilde{N}(x, y)|\leqslant H(x, y) for all (x,y)∈X×X(x, y)\in X\times X, and in particular N~\widetilde{N} belongs to L2(X×X)\mathscr{L}^2(X\times X) (INT, IV, p. 84, § 5, no6^o6, th. 5).

Let us prove that N=N~N =\widetilde{N} on X~×X~\widetilde{X}\times \widetilde{X}, which will establish property (i). Let ff and gg be elements of L2(X)\mathscr{L}^2(X). We have

⟨g∣uN~(f)⟩=∫X×XN~(x,y)f(x)g(y)‾d(μ⊗μ)(x,y) \langle g|u_{\widetilde{N}}(f)\rangle =\int_{X\times X}\widetilde{N}(x, y)f(x)\overline{g(y)}d(\mu\otimes \mu)(x, y)

(formula (12) of IV, p. 172). For all (x,y)∈X~×X~(x, y)\in \widetilde{X}\times \widetilde{X} and every finite subset J of I, we have

∣∑i∈Jαifi(x)‾gi(y)f(x)g(y)‾∣⩽∣f(x)g(y)∣H(x,y) |\sum_{i\in J}\alpha_i\overline{f_i(x)}g_i(y)f(x)\overline{g(y)}|\leqslant |f(x)g(y)|H(x, y)

by formula (16). Since the right-hand side of this inequality is integrable on X×XX\times X (INT, V, p. 95, § 8, no3^o3, cor. 2), we may apply Lebesgue's theorem (INT, IV, p. 137, § 3, no7^o7, th. 6) and formula (13), and deduce that

⟨g∣uN~(f)⟩=∑i∈Iαi∫X×Xfi(x)‾gi(y)f(x)g(y)‾d(μ⊗μ)(x,y) \langle g|u_{\widetilde{N}}(f)\rangle =\sum_{i\in I}\alpha_i\int_{X\times X}\overline{f_i(x)}g_i(y)f(x)\overline{g(y)}d(\mu\otimes \mu)(x, y)
=∑i∈Iαi⟨fi∣f⟩⟨g∣gi⟩=⟨g∣uN(f)⟩ =\sum_{i\in I}\alpha_i\langle f_i|f\rangle \langle g|g_i\rangle =\langle g|u_N(f)\rangle

Consequently, we obtain uN~=uNu_{\widetilde{N}}=u_N, whence N=N~N =\widetilde{N} in L2(X×X)L^2(X\times X) (prop. 3 of III, p. 28, b)).

For all (m,n)∈N2(m, n)\in \mathbf{N}^2, the functions N and N~\widetilde{N} are continuous on Km×KnK_m\times K_n and therefore are equal on Km×KnK_m\times K_n (prop. 9 of INT, III, p. 69, § 2, no2^o2), since the support of the measure induced by μ⊗μ\mu\otimes \mu on Km×KnK_m\times K_n is equal to Km×KnK_m\times K_n. Hence N coincides with N~\widetilde{N} on X~×X~\widetilde{X}\times \widetilde{X}.

√ \surd

Finally, the estimate FG ⩽(F+G)/2\leqslant (F + G)/2 implies that the function x↦√F(x)G(x)=H(x,x)x\mapsto \surd F(x)G(x) = H(x, x) is integrable on X, whence property (iii).

In the rest of this number, we retain the notation of the proposition.

Bourbaki sets the proof directly after the statement, and the corpus does not separate them, so what is above is the statement and its proof together.

Cited by

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Cites

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Machine translation of the English, by gpt-5-6-mini, gpt-5-mini, gpt-5.4, against glossary version 34. Not checked by a person. That model is a cut down version of the one the rest of this language was written by.